Why transcription quality is non-negotiable
The transcript isn't just a text file. It's the foundation for:
- • Clip detection — finding where to cut based on what was said
- • Subtitles — word-by-word captions with precise timing
- • Social posts — pulling quotes and key points
- • Blog content — restructuring what you said into written form
Garbage transcription cascades into garbage everything else. So we use the best model available and don't cut corners.
The technical bits
Whisper Large V3
OpenAI's most accurate model. Trained on 680,000+ hours of multilingual audio.
Word-level timestamps
Every word timestamped precisely. Makes animated captions and clips possible.
50+ languages
Auto-detects language. Best results with English, Spanish, French, German, Japanese.
Speaker detection
Labels different speakers throughout. Essential for interviews and podcasts.
It's not perfect
Whisper is the best we've found, but you'll still see errors with:
- • Uncommon proper nouns and brand names
- • Heavy background music or noise
- • Multiple people talking over each other
- • Very fast speech or strong regional accents
We recommend reviewing transcripts for important content. Editing tools make corrections quick.
Export formats
SRT, VTT (for video platforms), plain text (for blog/docs), or JSON with timestamps (for custom integrations).